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Centre for Digital Built Britain

 
Read more at: Blog: Four Futures, One Choice

Blog: Four Futures, One Choice

11 December 2020

While many worried that automation would lead to unprecedented levels of unemployment, the b uilt e nvironment in 2040 is powered both by a growing skilled workforce and supported by automation. More people than ever are now in employment, a change that happened rapidly in response to the Green New Deal and other post-...


Read more at: Publication: Four Futures One Choice

Publication: Four Futures One Choice

11 December 2020

fourfutures_onechoice_2020._png.png Four Futures, One Choice uses a futures thinking methodology to explore four scenarios for the digital built environment in the year 2040, hinging on the age demographics in the UK and the achievement of the Sustainable Development Goals. It demonstrates that a complex web of factors...


Read more at: Book: Four Futures - One Choice

Book: Four Futures - One Choice

4 November 2020

screenshot_2020-12-11_at_11.11.09.png Four Futures, One Choice provokes us with a future lens enabling us to view, with clarity and detail, four scenarios of what Britain could look like in 2040, depending upon the decisions that are made now, in these unprecedented times of opportunity. It presents us with four compelling...


Read more at: Blog - BIM, AI and Construction Tech by Professor Rafael Sacks

Blog - BIM, AI and Construction Tech by Professor Rafael Sacks

11 September 2020

Construction must adopt digital tools to prepare the way for information and automation technologies that deliver value . Professor Rafael Sacks , Visiting Professor at CDBB, and Ashtrom Engineering Company Chair in Civil Engineering at the   Technion , Israel Institute of Technology, sets out the House of Construction...


Read more at: Capturing changing activity in London as lockdown eases

Capturing changing activity in London as lockdown eases

3 July 2020

Cambridge researchers are part of a collaborative project tasked with developing models, infrastructure and machine learning algorithms for capturing mobility, transportation and traffic activity in London, as the COVID-19 pandemic lockdown eases. Project Odysseus , led by The Alan Turing Institute , aims to better...


Read more at: Dr Farhad Huseynov

Dr Farhad Huseynov

Research background


Read more at: Gabriel Martin Hernández

Gabriel Martin Hernández

Research background

PhD. Gabriel Martin was a Predoctoral Research Associate with the Hyperspectral Computing Laboratory Cáceres (Spain) and Postdoctoral Researcher in "Instituto de Telecomunicaçoes" Lisbon, Portugal. His research interests include remote sensing image processing, specifically the areas of hyperspectral unmixing and hyperspectral compressive sensing, as well as the efficient processing of remote sensing images in High Performance Computing architectures such as GPUs.


Read more at: Dr Matthew Danish

Dr Matthew Danish

Research background

Matthew Danish is a Research Associate within the Networks and Operating Systems group of the Systems Research Group in the Department of Computer Science and Technology. He is interested in systems verification, sensor networks, machine learning, infrastructure and the built environment.

CDBB projects involved with

West Cambridge Digital Twin


Read more at: CAR: creation and through-life management of built assets and infrastructure

CAR: creation and through-life management of built assets and infrastructure

The past 20 years have witnessed a transformation in digital technologies that touches every part of life in Great Britain. We now take completely for granted the ability to take digital photographs, access precise locations using satellite technologies, and access a world of information from the...


Read more at: Aerial Swarm Robotics for Active Inspection of Bridges

Aerial Swarm Robotics for Active Inspection of Bridges

Bridge collapses are expensive and often tragic events that need to be avoided by detecting faults early. This project aims to create a coordinated aerial swarm system to inspect the cracks in bridge structures, improving the monitoring coverage and efficiency.